Cerebras

Founded by Andrew Feldman in 2016

Run AI inference up to 15x faster than GPUs using custom chips

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Cerebras to run AI model inference at extremely high speeds using their custom wafer-scale processor chips. It supports popular open models like Llama, Qwen, and Gemma through a cloud API, dedicated on-premise deployments, or edge setups. You can also fine-tune or pre-train models on your own data. It's OpenAI API-compatible so you can drop it into existing apps. Cerebras claims up to 2,000 tokens per second for real-time AI applications in production.

What Cerebras does

Run LLM inference via REST API with an API keyDeploy AI models on-premise with dedicated hardwareFine-tune open models on custom datasetsPre-train large language models from scratchIntegrate fast inference into existing OpenAI-compatible appsMonitor inference speed and performance benchmarksSelect and serve specific open models like Llama or QwenScale AI compute capacity across cloud regionsWafer-scale chip that is 58x larger than a GPUInference speeds up to 2,000 tokens per secondDrop-in OpenAI API compatibility for fast integrationSupports cloud, on-premise, and on-device deploymentsRuns popular open models including Llama, Qwen, Gemma, and GLMSupports model pre-training and fine-tuning on your own dataKeeps inference in-region for data residency and complianceMultimodal model support with Gemma 4 at 1,800+ tokens/second